In 2018, Microsoft acquired GitHub ($MSFT) for $7.5 billion. A distributed version control and source code management tool, GitHub has become an indispensable part of the software development process. It also is home to a reported 40 million users and more than 100 million "repositories", which makes it the largest host of source code in the world.

Little wonder, then, why Microsoft acquired the company. And, also little wonder that Microsoft has recently increased hiring for its GitHub subsidiary to the tune of 132% since January 1, 2020. 

The hiring spree reflects a similar one around this time last year, although hiring now appears to be at its highest levels, at least in terms of job listings. The new positions have also made Engineering GitHub's most in-demand category after Sales had dominated hiring for the past two categories.

This wasn't always the case for Microsoft and GitHub, however: just last spring, hiring at GitHub saw a drop of 50%.

As recently as the fourth quarter of 2019, Sales jobs outpaced those of Engineering by a factor of more than 2. However, as of the past quarter (which isn't even finished yet), Engineering jobs have once again become the most common type of job listing on GitHub's careers site.

GitHub remains a thoroughly Silicon Valley company when it comes to where it's looking for talent: Of the jobs listed last week, at least 74 will be placed in the US, 32 of which are assigned to the San Francisco office. GitHub is only hiring for 6 positions in India, and just 2 in Tokyo. That may change soon, however, as the company recently announced that it would open new offices in Bengaluru and Hyderabad.

GitHub Openings on February 19


United States


San Francisco, CA, United States


NA or Remote






Amsterdam, Netherlands


Tokyo, Japan






United Kingdom


Seattle, Washington, United States


Sydney, New South Wales, Australia


About the Data:

Thinknum tracks companies using the information they post online - jobs, social and web traffic, product sales and app ratings - and creates data sets that measure factors like hiring, revenue and foot traffic. Data sets may not be fully comprehensive (they only account for what is available on the web), but they can be used to gauge performance factors like staffing and sales. 

Further Reading: 

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